BigQuery uses a columnar storage format called Capacitor, where data is stored column by column instead of row by row. This makes queries much faster because BigQuery reads only the required columns instead of scanning entire rows, reducing disk I/O and data processing. Columnar storage also enables better compression and highly parallel processing, which improves performance for large-scale analytics compared to traditional row-based databases that are optimized mainly for transactional workloads.